Meeting Summary
- The idea about use dynamic knowledge graph to build a persistent memory is theoretical feasible.
- This topic is trending, which means many teams might working on it.
- Such valuable long conversation dataset is hard to find, likely not open source but owned by large company.
- Core question: what is the benchmark and evaluation metric?
Next Step
- Do literature review deeply on these aspects to get insights about benchmark and current SOTA:
- KG in conversational AI
- RAG
- AI memory system
- User modeling and personalization
- I should keep focus on:
- Evaluation tasks for AI memory or long term interaction
- Relevant datasets
- The standard metric I can use
- SOTA baselines